Introducci贸n a la Integraci贸n Nativa en Android

1

Integra APIs Nativas en Android

2

Creaci贸n proyecto base

Google Maps SDK

3

C贸mo crear una API key para Google Maps en Google Cloud

4

Creaci贸n de marcadores en Google Maps con Jetpack Compose

5

C贸mo dibujar rutas en mapas usando polil铆neas en Jetpack Compose

6

C贸mo enfocar autom谩ticamente mapas usando Camera Update Factory

Quiz: Google Maps SDK

Servicios de Localizaci贸n

7

Uso de Flows en Kotlin para Controlar Intervalos de Tiempo y Emisi贸n de Datos

8

C贸mo simular ubicaci贸n en emuladores y dispositivos reales

9

Creaci贸n de Modelos y C谩lculos de Localizaci贸n con Clean Architecture

10

Implementaci贸n de Localizaci贸n en Android Usando Flows

11

Inyecci贸n de dependencia para seguimiento de localizaci贸n en Android

12

Uso de StateFlows para rastrear ubicaci贸n en aplicaciones Android

13

Location Tracker

14

Implementaci贸n de Location Tracker con Inyecci贸n de Dependencias

Quiz: Servicios de Localizaci贸n

Integraci贸n Maps con Localizaci贸n

15

Integraci贸n de mapas din谩micos con CameraPositionState en Android

16

Creaci贸n y uso de polil铆neas en mapas con datos reales

17

Creaci贸n de una pantalla de mapa con Intents y estados en Jetpack Compose

18

Creaci贸n de un ViewModel para Seguimiento de Localizaci贸n en Android

Quiz: Integraci贸n Maps con Localizaci贸n

Manejo de permisos

19

Gesti贸n de permisos en Android para localizaci贸n, c谩mara y notificaciones

20

C贸mo implementar di谩logos para solicitar permisos en Android

21

Manejo de permisos de localizaci贸n y notificaci贸n en Android

22

C贸mo gestionar permisos en Android con Jetpack Compose

Quiz: Manejo de permisos

Integraci贸n c谩mara

23

Integraci贸n de c谩mara en Android con Photo Handler y manejo de permisos

24

Convierte Bitmaps a ByteArrays en Android con Kotlin

25

Creaci贸n de intents y estados UI para c谩mara en Android con Kotlin

26

Implementaci贸n de funciones clave en ViewModel para c谩mara Android

27

Integrar C谩maraX en Jetpack Compose para Android

28

Captura y previsualizaci贸n de fotos en Android con Jetpack Compose

29

C贸mo Mostrar Fotos en Marcadores de Ubicaci贸n en Mapas con Jetpack Compose

Quiz: Integraci贸n c谩mara

Servicios en Android

30

Implementaci贸n de servicios en Android: normal services y foreground services

31

Implementar Foreground Services en Android para Persistencia en Segundo Plano

Quiz: Servicios en Android

Transmisiones en Android (Broadcast)

32

Implementaci贸n de BroadcastReceiver en Android para Escuchar Eventos del Sistema

33

Pruebas finales y cierre

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Creaci贸n de un ViewModel para Seguimiento de Localizaci贸n en Android

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Resources

Implementing the logic for real-time position tracking in your Android application is possible through an organized ViewModel. Using the integration with Hilt and Kotlin's reactive flows(StateFlow and Flow), you can easily manage the observability of your location and the dynamic handling of permissions within the Android ecosystem.

How to configure a ViewModel with Hilt for Maps?

Configuring the ViewModel starts by integrating it with Hilt using the @HiltViewModel annotation. Essential dependencies, such as a LocationTracker, will be easily injected and allow you to efficiently monitor location-related states.

  • Create a new TrackingMapViewModel.
  • Use the @HiltViewModel annotation.
  • Declare dependencies as LocationTracker.
  • Manage states using variables of type MutableStateFlow.

What variables are needed to manage location states?

There are key variables that will allow you to check permissions and control whether the tracking should be triggered or stopped at any time:

  • HasLocationPermission: defines whether the application has the necessary permissions.
  • ShouldTrack: indicates when the location should be tracked, stopped or resumed.
  • IsAllowedToTrack: combines the previous variables to automatically trigger tracking.

How to handle tracking states through intentions?

Managing the actions that affect the location tracking policy is handled throughIntents. These are used to modify the internal tracking state in the ViewModel:

  • ResumeTracking: activates monitoring(ShouldTrack = True).
  • PauseTracking: stops temporarily the monitoring(ShouldTrack = False).
  • StartTracking: starts for the first time the location monitoring(ShouldTrack = True and activate tracking in LocationTracker).

How to connect the ViewModel with the map interface?

The interface must react to the change of state reflected in the ViewModel. You must integrate that state into your screen using Compose:

  • Create a MapScreen map screen.
  • Bind the state of the ViewModel in Compose using collectAsState().
  • Ensure that interface actions (such as floating buttons) correctly dispatch intentions to the ViewModel.

How to resolve common location-related errors?

A common error is to leave observability enabled from previous code used for testing or previous exercises. To solve this:

  • Check MainActivity for the presence of old code and remove it.
  • Make sure to activate correctly the location permissions from the device configuration.
  • Restart the emulator or device to correctly validate the expected behavior.

This tidy approach allows to build a professional tracking system easily extendable and reusable in multiple applications.

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